Restoring balance: principled under/oversampling of data for optimal classification

Emanuele Loffredo, Mauro Pastore, Simona Cocco +1

Class imbalance in real-world data poses a common bottleneck for machine learning tasks, since achieving good generalization on under-represented examples is often challenging. Mit…